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Sr. Data Engineer; Starlink Network Analytics, Wi-Fi

Job in Redmond, King County, Washington, 98052, USA
Listing for: SPACE EXPLORATION TECHNOLOGIES CORP
Full Time position
Listed on 2026-06-26
Job specializations:
  • IT/Tech
    Data Engineering, Unix/Linux
Job Description & How to Apply Below
Position: Sr. Data Engineer (Starlink Network Analytics, Wi-Fi)

Location:

Redmond, WA

SpaceX is developing technologies to enable human life on Mars, and the Starlink program is a key part of that mission. Starlink provides fast, reliable broadband internet across the globe through a large constellation of satellites.

SR. DATA ENGINEER (STARLINK NETWORK ANALYTICS, WIFI)

As a Data Engineer, you will develop the strategy, key metrics, tools, software services, and processes for assessing how well key aspects of Starlink are scaling and how effective the Starlink Network is at serving millions of users worldwide. You will collaborate with operators, subsystem responsible engineers, software engineers, and network engineers inside Starlink and with external partners to support program growth.

Responsibilities
  • Build and maintain mission‑critical infrastructure, tools, processes, and custom software to objectively assess growth areas for the Starlink program
  • Automate the aggregation of metrics and detection of widespread application issues across the Starlink network, including Wi Fi
  • Lead technical investigations about chronic application‑level issues
  • Build ground‑based software systems that ingest, transform, and store data
  • Apply data analytics, models, and techniques to data products created by space vehicles
  • Fuse data from multiple sources to create usable information
Basic Qualifications
  • Bachelor’s degree in computer science, engineering, math, or a STEM discipline and 5+ years of professional experience in data engineering
  • Experience in an object‑oriented programming language (e.g., C, C++, Python)
Preferred Skills and Experience
  • Experience in networking technologies and WiFi protocols (TCP/UDP, 802.11, etc.)
  • Experience building predictive models and machine learning pipelines on real‑world data (clustering, prediction, anomaly detection)
  • Experience in custom ETL design, implementation, and maintenance
  • Experience handling large (TB+) datasets
  • Experience developing and deploying tools for data analysis
  • Ability to work effectively in a dynamic environment with changing needs and requirements
  • Ability to take initiative and develop new expertise on projects
Additional Requirements
  • Must be willing to work extended hours and weekends as needed
Compensation and Benefits

Pay Range:
Level 3: $ – $

Your actual level and base salary will be determined on a case‑by‑case basis based on knowledge, skills, education, and experience. Base salary is one part of the total rewards package, which may include long‑term incentives, discretionary bonuses, and an Employee Stock Purchase Plan. Benefits include medical, vision, and dental coverage; a 401(k) retirement plan; short‑ and long‑term disability insurance; life insurance;

paid parental leave; paid vacation; paid holidays; and other employee discounts. Employees in Washington State accrue paid sick time in compliance with state and federal law. Company shuttles are offered for roundtrip travel from select Seattle locations to the SpaceX Redmond office Monday to Friday.

EEO Statement

SpaceX is an Equal Opportunity Employer; employment with SpaceX is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.

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